搜索资源列表
Relativity
- 对不同图像之间的相关性可以进行较好的比较.对后续的图像分析很有帮助.
matlab_SpatialCorrelatedImage
- 生成具有空间相关性的图像。整幅图像被看作是一个离散的随机场，每个像素都是一个随机变量。对于空间相关性模拟和研究非常有用！
dirdetect
- 通过图像像素点之间的相关性来判断该像素点为噪声点还是信号点，进而对其进行滤波。-first, we judge the image pixel that it is noise pixel or signal pixel by compute the correlations between them.then we remove the noise of the image.
chongjixinhaozixiang
- 如何在图像中加入一个冲击信号，求冲击信号的自相关 并求与高斯信号的互相关性-how to insert noise,and how to konw the correlation with gaosi noise
yaogan
- 对一副图像，计算其对比度和相关性这两个纹理指标-On an image to calculate the contrast and texture indicators
Arnoldmatlab
- 二值图像的arnold置乱，二值图像为方阵，作用是打乱图像的相关性-Arnold scrambling of the binary image, binary image for the square, to disrupt the image correlation
2DduplexingPCA(2D2PCA)
- 2D双向PCA(2D2PCA),二维主成分分析(2DPCA)的实质是对图像矩阵按行进行图像压缩抽取特征,消除了图像列的相关性.-2D bidirectional PCA (2D2PCA), two-dimensional principal component analysis (2DPCA) real image matrix row the Image Compression extraction characteristics to eliminate the correlation of
Compress
- 预测法去除图像间的数据相关性，然后用区域等长法进行编码解码，期中包括与霍夫曼编码的对比-Prediction method to remove the image data, and then use the area as long as law codec, mid-term, including comparison with Huffman coding
img_correlation
- 像素相关性计算函数，该指标对于衡量一个加密后的图像安全性能-Pixel correlation calculation function, the safety performance indicators for measuring an image after encryption
ICA-matlab
- ICA算法的研究可分为基于信息论准则的迭代估计方法和基于统计学的代数方法两大类，从原理上来说，它们都是利用了源信号的独立性和非高斯性。一般情况下，所获得的数据都具有相关性，所以通常都要求对数据进行初步的白化或球化处理，因为白化处理可去除各观测信号之间的相关性，从而简化了后续独立分量的提取过程,然后再用基于负熵最大的FastICA算法，即可对图像及信号进行解混。-ICA algorithm research can be divided into iterative estimation meth
PCA
- 主成分分析，空间降维的人工智能算法，也能用来去相关性，在图像等信号处理常用-Principal component analysis, spatial dimensionality reduction of artificial intelligence algorithms, but also can come and relevance, in the image signal processing such as common
54226620
- 提供了SAD算法和根据相关性检测算法,把图像分成四个块,很好的-Provides a SAD algorithm and according to the correlation detection algorithm, the image is divided into four pieces, very good
互相关
- 求解数据互相关性图像(Solving data interrelated images)